Course overview
This course is designed to suit students requiring a high degree of self-sufficiency in the collection, analysis and interpretation of data. The topics will include non-parametric statistical methods, linear models, logistic regression, Generalized Linear Models and Poisson regression, and survival analysis. A central feature of the course will be instruction in the use of statistical packages on computers, primarily Stata. Emphasis will be placed on data management and manipulation, practical application of statistical skills to real data sets and interpretation of results
Course learning outcomes
- Manage and manipulate data efficiently and effectively
- Apply a range of simple and complex statistical analysis techniques commonly used in Health Sciences appropriately
- Demonstrate statistical reasoning skills correctly and contextually
- Interpret results of statistical analyses in written summaries
- Use the statistical software package 'Stata' proficiently to conduct data manipulation and statistical analyses.
Degree list
The following degrees include this course